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2025

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Jack Reacher And The Deployment Of An Airbag, Gregory A. Dilisi, Richard A. Rarick Jan 2025

Jack Reacher And The Deployment Of An Airbag, Gregory A. Dilisi, Richard A. Rarick

2025 Faculty Bibliography

No abstract provided.

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Do Courts Get It Right When Piercing The Corporate Veil? An Empirical Study, Franklin A. Gevurtz Jan 2025

Do Courts Get It Right When Piercing The Corporate Veil? An Empirical Study, Franklin A. Gevurtz

McGeorge School of Law Scholarly Articles

This Article presents the results of a unique empirical study addressing whether courts achieve rational outcomes when piercing the corporate veil. The study examined a set of over 300 court decisions upholding piercing claims in the last almost four years. It asked whether the courts in these cases could rationally have found either deception of the creditors or improper removal of corporate assets (siphoning)—two grounds generally agreed to justify imposing liability upon the shareholders. The result was an affirmative answer in around three-quarters of the cases. This result provides an important response to the argument that piercing decisions are irrational …

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Evaluation Of The Maneuverability Of An 85m Fishing Trawler (Focusing On Dynamic Stability), Chun-Ki Lee, Su-Hyung Kim Jan 2025

Evaluation Of The Maneuverability Of An 85m Fishing Trawler (Focusing On Dynamic Stability), Chun-Ki Lee, Su-Hyung Kim

Journal of Marine Science and Technology–Taiwan

Most fishing vessels are less than 100 meters in length, so IMO maneuverability standards do not apply. As a result, studies on the maneuverability of fishing vessels are considerably fewer compared to those on merchant ships. However, with technological advancements, the size of fishing vessels continues to grow, and as more fishermen are on board, accidents could lead to fatal casualties. In response, the authors determined that research on the maneuverability of fishing vessels is urgently needed. Thus, the authors conducted a maneuverability evaluation on a fisheries training vessel with the hull shape of a fishing trawler, 85 meters in …

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A Hybrid Image Filtering Approach For Improving Edge Detection Of Riverbed Particles With Complex Textures, Po-Wei Lin, Hsun-Chuan Chan Jan 2025

A Hybrid Image Filtering Approach For Improving Edge Detection Of Riverbed Particles With Complex Textures, Po-Wei Lin, Hsun-Chuan Chan

Journal of Marine Science and Technology–Taiwan

The distribution of particle size in gravel-bed rivers affects the flow condition, sediment transport, and river morphology. However, conventional particle size analysis is laborious and time-consuming. To enhance the efficiency of particle size analysis, image-based methods have been widely explored, but complex particle textures increase the difficulty in identifying particle edges during image analysis. This study develops a filtering approach based on the rolling guidance filter and leverages the differences in grayscale gradients between particle edges and textures to design a guidance image tailored for the rolling guidance filter. This design enables the filter to preserve particle edges while smoothing …

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The Effect Of Bait Types On Catch Performance In The Vietnamese Swimming Crab Trap Fishery, Nghiep K. Vu, Khanh Q. Nguyen, Luong T. Nguyen Jan 2025

The Effect Of Bait Types On Catch Performance In The Vietnamese Swimming Crab Trap Fishery, Nghiep K. Vu, Khanh Q. Nguyen, Luong T. Nguyen

Journal of Marine Science and Technology–Taiwan

Trapping is a primary fishing method to capture swimming crab species along the coast of Vietnam, because it has low ecological and environmental impacts. In trap fisheries, bait plays a primary role in determining the effectiveness of the gear and is one of the largest operational costs. Fishermen determine bait types based on their experience and what they can find, where trash fish caught by trawl fisheries is preferred and commonly used. However, the catch rates of swimming crab traps are typically low and highly variable and thus, there is considerable interest to improve the catchability. This study examined the …

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Comparison Of Canopy Materials To Improve The Performance Of Sea Anchors Used For Fishing Operations, Namgu Kim, Su-Hyung Kim, Yoo-Won Lee, Kyung-Jin Ryu Jan 2025

Comparison Of Canopy Materials To Improve The Performance Of Sea Anchors Used For Fishing Operations, Namgu Kim, Su-Hyung Kim, Yoo-Won Lee, Kyung-Jin Ryu

Journal of Marine Science and Technology–Taiwan

Sea anchors used for fishing operations help improve catch rates by stabilizing vessel drift speeds to match tidal or ocean currents. The underwater resistance experienced by a sea anchor's canopy significantly impacts its performance, yet there has been limited research on canopy materials. This study investigates how different canopy materials can enhance sea anchor performance. Specifically, we tested sea anchors made from three fabrics: the currently used polyamide (PA) material, PA material with increased yarn density in the weft direction, and polyester (PES). Using Korean national standards, we compared the yarn density, weight, water absorption capacity, drying rate, air permeability, …

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Research On Ship Track Prediction Based On Ipso-Cnn, Xiangen Bai, Nuo Chen, Xiaofeng Xu Jan 2025

Research On Ship Track Prediction Based On Ipso-Cnn, Xiangen Bai, Nuo Chen, Xiaofeng Xu

Journal of Marine Science and Technology–Taiwan

With the rapid development of the global economy, international imports and exports have become increasingly important. Timely and effective tracking and prediction of ship trajectories are important in the face of complex maritime traffic. Based on AIS data, this study establishes a ship trajectory prediction model combining improved particle swarm optimization (IPSO) and a convolutional neural network (CNN) that uses the ship's historical navigation trajectory data to predict the future navigation trajectory. The historical ship trajectory data of the Port of Ningbo-Zhoushan were selected for the experiment, and the IPSO-CNN model experiment results were compared with those of other models. …

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Using Secreted Biomarkers In The Development Of The Detection Of Advanced Cancer Screening System, Elaine Vanterpool Jan 2025

Using Secreted Biomarkers In The Development Of The Detection Of Advanced Cancer Screening System, Elaine Vanterpool

Student Posters

An estimated 20 million people globally develop cancer every year. Furthermore, over 9.7 million people die from cancer. The best prognosis of cancer occurs when detected early. Cancer, in its early stages, usually does not display clinical symptoms and is usually not detectable by symptoms and is diagnosed later. The goal of the D.A.C.S. is to provide a screen that can detect cancer. It is hypothesized that developing a cancer detection system/technology, named D.A.C.S. (Detection of Advanced Cancer Screening) system, can help with early cancer detection, while still being affordable for the general public.

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Mutation In Rpl10 Disrupts Ribosomal Function And Contributes To Autism Spectrum Disorder, Elaine Vanterpool, Paula Ramirez-Mejia Jan 2025

Mutation In Rpl10 Disrupts Ribosomal Function And Contributes To Autism Spectrum Disorder, Elaine Vanterpool, Paula Ramirez-Mejia

Student Posters

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by difficulties in social communication and restricted, repetitive behaviors, interests, or activities. A study in 2020 estimated that ASD affects 2.8% of children in the United States (NIMH). The RPL10 gene, encodes the Ribosomal protein L10, has been implicated in ASD and plays a crucial role in protein synthesis and neuronal development, contributing to a protein essential for assembling the large ribosomal subunit. This study investigates how variations in PRL10 (Ribosomal Protein L10) can contribute to ASD.

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Eed Gene Variants And Irritable Bowel Syndrome: A Genetic Approach To Understanding Ibs, Elaine Vanterpool, Ted Howard Jan 2025

Eed Gene Variants And Irritable Bowel Syndrome: A Genetic Approach To Understanding Ibs, Elaine Vanterpool, Ted Howard

Student Posters

Irritable Bowel Syndrome is a disease linked with the gastrointestinal system and seen to cause bloating, abdominal pain, and harmful alterations in the digestive system. Its cause is complex and is known to have both environmental and genetic factors. Recent studies have shown that IBS occurs due to genetic variations, which leads to the pathogenesis of IBS. One gene, the EED (Embryonic Ectoderm Development) gene has been involved in various biological processes, particularly gastrointestinal functions. The purpose of this study is to explore the potential relationship between the EED gene and IBS.

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Analyzing The Inhibition Of Chemical Compounds On Collagenase In P. Aeruginosa, Elaine Vanterpool, Marielle Cooper, Kiara Cameron Jan 2025

Analyzing The Inhibition Of Chemical Compounds On Collagenase In P. Aeruginosa, Elaine Vanterpool, Marielle Cooper, Kiara Cameron

Student Posters

Pseudomonas aeruginosa is an opportunistic pathogen that poses significant challenges in clinical treatment due to its production of collagenase. This bacterium can cause several infections including pneumonia, meningitis, septicemia, and a host of other diseases. Collagenase acts as a key virulence factor by breaking down collagen in the host’s extracellular matrix, allowing bacteria to invade tissues. This study hypothesized that the effects of cell secreted collagenase would be inhibited by metronidazole, vanillin, and silver nanoparticles to reduce the pathogenicity of Ps. aeruginosa related infections.

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Analysis Of Cys294arg Mutation In Cs1 Associated With Periodontal Ehlers-Danlos Syndrome & Collagen Degradation, Elaine Vanterpool, Amy Aboki Jan 2025

Analysis Of Cys294arg Mutation In Cs1 Associated With Periodontal Ehlers-Danlos Syndrome & Collagen Degradation, Elaine Vanterpool, Amy Aboki

Student Posters

C1s enzyme plays a crucial role in the immune system so that the body can fight infection and repair damaged tissues. However, if it is not working properly, it will do more harm than good. This is shown in the case of periodontal Ehlers-Danlos syndrome (pEDS), a rare genetic disorder whereby C1s breaks down collagen I, a protein that gives structure and strength to connective tissues. Severe gum disease, loose teeth and premature teeth is a result of this. The purpose of this study is to identify and analyze the pathogenicity of C1s mutations and association in pEDS.

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Impact Of Feeding Different Fat Sources And Levels Of Vitamin E Isoforms To Heavy Slaughter Weight (150 Kg) Pigs: Ii. Belly And Bacon Quality, Marlee Kelley, Ding Wang, Ana Paula A.A. Salim, Merlin D. Lindemann, Gregg Rentfrow, Surendranath P. Suman Jan 2025

Impact Of Feeding Different Fat Sources And Levels Of Vitamin E Isoforms To Heavy Slaughter Weight (150 Kg) Pigs: Ii. Belly And Bacon Quality, Marlee Kelley, Ding Wang, Ana Paula A.A. Salim, Merlin D. Lindemann, Gregg Rentfrow, Surendranath P. Suman

Animal and Food Sciences Faculty Publications

Two independent experiments were performed to evaluate the effect of dietary fat sources and vitamin E supplementation on the characteristics of belly and bacon from heavy slaughter weights (150 kg) pigs. In experiment 1, 64 individually fed pigs (32 barrows and 32 gilts) were randomly assigned to 1 of the 8 dietary treatments in a 4 × 2 factorial arrangement. Four fat sources included cornstarch (CS), tallow (TW), corn oil (CO), and coconut oil (CN). Vitamin E supplementation included alpha-tocopheryl acetate (ATA) at 11 and 200 ppm. In experiment 2, individually fed pigs (n = 72; 36 barrows, 36 gilts) …

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Impact Of A 24 H Feed Withdrawal On Active Nutrient Transport, Intestinal Morphology, And Gene Expression In The Equine Small And Large Intestine, Blaire E. Aldridge-Dean, Timothy B. Lescun, John Scott Radcliffe Jan 2025

Impact Of A 24 H Feed Withdrawal On Active Nutrient Transport, Intestinal Morphology, And Gene Expression In The Equine Small And Large Intestine, Blaire E. Aldridge-Dean, Timothy B. Lescun, John Scott Radcliffe

Animal and Food Sciences Faculty Publications

Horses are often subjected to short-term feed withdrawal (FW) pre- or post-surgery to reduce anesthetic complications. However, removing nutrients from the intestinal lumen may negatively impact intestinal health. Thirteen horses were used to determine the effects of a 24 h FW on gut barrier function, active nutrient transport, transporter gene expression, and intestinal morphology. Following 0 or 24 h FW (0FW or 24FW, respectively), horses were euthanized via overdose of sodium pentobarbital and sodium phenytoin, and segments of proximal jejunum (PJ), mid jejunum (MJ), ileum (Il), and right ventral colon (RVC) were harvested for histology (PJ and Il), gene expression, …

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Piglet Nursing Location Along The Sow’S Udder Line Affects Piglet Weight Gain And Subsequent Weaning Weight, Shannon Dierking, Harold J. Monegue, Merlin Lindemann Jan 2025

Piglet Nursing Location Along The Sow’S Udder Line Affects Piglet Weight Gain And Subsequent Weaning Weight, Shannon Dierking, Harold J. Monegue, Merlin Lindemann

Animal and Food Sciences Faculty Publications

Background: There is a linear correlation between piglet weaning weight and average daily gain during the post-nursery period. A key factor that influences piglet weight gain during lactation is milk intake. Thus, the variation in piglet weaning weight is hypothesized to be, to some extent, a result of differences in milk production among individual mammary glands. Objective: The objective of this study was to evaluate the impact of piglet nursing location throughout lactation on piglet weaning weight, with a secondary objective of determining the impact of piglet birth weight on nursing location selection. Methods: Teat pairs were labeled from anterior …

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Post-Weaning Weight Gain In Pigs Is Not Affected By Moderate Duration Transport At 20 Days Of Age, Isabel B. Walpole, Alyssa A. Smith, Kaylyn G. Rudy, Dayeon Jeon, Sarah M. Innis, Brian T. Richert, J. Scott Radcliffe, J. Alex Pasternak Jan 2025

Post-Weaning Weight Gain In Pigs Is Not Affected By Moderate Duration Transport At 20 Days Of Age, Isabel B. Walpole, Alyssa A. Smith, Kaylyn G. Rudy, Dayeon Jeon, Sarah M. Innis, Brian T. Richert, J. Scott Radcliffe, J. Alex Pasternak

Animal and Food Sciences Faculty Publications

Transportation at weaning is an integral component of the American swine industry. However, the long-term effects on growth performance have not been well characterized. Previous research suggests transportation causes weight loss immediately following weaning, but few studies have followed this effect further than 7 d post-weaning, with transport causing decreased body weight in those that have. In experiment 1, average weight pigs at 20 ± 1.3 d of age were weaned and either 1) transported for 9 hour without feed and water (TR), 2) had their feed and water restricted for 9 hour (FR), or 3) were weaned and provided …

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Impact Of Feeding Different Fat Sources And Levels Of Vitamin E Isoforms To Heavy Slaughter Weight (150 Kg) Pigs: I. Carcass Characteristics And Fresh Pork Quality, Marlee Kelley, Ding Wang, Gregg Rentfrow, Merlin D. Lindemann, Ana Paula A.A. Salim, Surendranath P. Suman Jan 2025

Impact Of Feeding Different Fat Sources And Levels Of Vitamin E Isoforms To Heavy Slaughter Weight (150 Kg) Pigs: I. Carcass Characteristics And Fresh Pork Quality, Marlee Kelley, Ding Wang, Gregg Rentfrow, Merlin D. Lindemann, Ana Paula A.A. Salim, Surendranath P. Suman

Animal and Food Sciences Faculty Publications

The objective of this study was to evaluate the effect of supplementing α-tocopheryl-acetate (ATA) and γ-tocopherol (GT) vitamin E isoforms with corn oil (CO) and tallow (TW) on carcass characteristics and meat quality characteristics of pigs grown to heavy weights (150 kg). Individually fed pigs (n = 72; 36 barrows, 36 gilts) were randomly assigned to 12 dietary treatments in a 2 × 6 factorial arrangement. Fat treatments were 5% TW and 5% CO. The vitamin E treatments included 4 levels of ATA (11, 40, 100, and 200 ppm) and 2 levels of mixed tocopherols (primarily GT; 40 and 100 …

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Wet Aging For 21 Days Improves Tenderness Of Beef Biceps Femoris Muscle Without Affecting Color Stability, Ana Paula A.A. Salim, Mahesh N. Nair, Yifei Wang, Anna C.V.C.S. Canto, Gregg Rentfrow, Surendranath P. Suman Jan 2025

Wet Aging For 21 Days Improves Tenderness Of Beef Biceps Femoris Muscle Without Affecting Color Stability, Ana Paula A.A. Salim, Mahesh N. Nair, Yifei Wang, Anna C.V.C.S. Canto, Gregg Rentfrow, Surendranath P. Suman

Animal and Food Sciences Faculty Publications

Beef whole-muscle cuts containing biceps femoris (BF) exhibit inferior tenderness compared to cuts from the ribs and loins. The BF is a sizeable muscle in beef round, and enhancing tenderness of BF may increase the value of beef carcasses. While wet aging for 21 d improves beef tenderness, it can compromise color. Therefore, we evaluated the effects of wet aging on color and tenderness of beef BF to identify an optimal aging duration for these quality traits. The BF muscles were collected 24 h postmortem from 8 beef carcasses (n = 8), divided into equal sections, vacuum packaged, and aged …

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Toward Strategy Identification And Subtask Decomposition In Task Exploration, Tom Odem Jan 2025

Toward Strategy Identification And Subtask Decomposition In Task Exploration, Tom Odem

Master's Projects

This research builds on work in anticipatory human-machine interaction, a subfield of human-machine interaction where machines can facilitate advantageous interactions by anticipating a user’s future state. The aim of this research is to further a machine’s understanding of user knowledge, skill, and behavior in pursuit of implicit coordination. A task explorer pipeline was developed that uses clustering techniques, paired with factor analysis and string edit distance, to automatically identify key global and local strategies that are used to complete tasks. Global strategies identify generalized sets of actions used to complete tasks, while local strategies identify sequences that used those sets …

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Automated Sponge Segmentation With Mask R-Cnn On Arms Plate Images For Reef Monitoring, Mrunali Abhijit Thokadiwala Jan 2025

Automated Sponge Segmentation With Mask R-Cnn On Arms Plate Images For Reef Monitoring, Mrunali Abhijit Thokadiwala

Master's Projects

Climate change-driven ocean warming and acidification are disrupting the ecological balance of coral reefs. Notably, these oceanic conditions are undermining coral health and accelerating their decline which is favoring some sponge species in outcompeting them for dominance. Although functional, these altered reefs destabilize the reef architecture, hinder nutrient cycling, and support fewer marine species. Thus, monitoring the growth and abundance of various sponges and understanding their roles at different stages of ecological succession in coral reefs is vital. Autonomous reef monitoring structures (ARMS) are often used for this purpose, but manual taxonomic analysis using their images is time-consuming, inconsistent and …

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Ai-Based Dynamic Spectrum Allocation Model For Wireless Network Management, Sai Sashank Peddibhotla Jan 2025

Ai-Based Dynamic Spectrum Allocation Model For Wireless Network Management, Sai Sashank Peddibhotla

Master's Projects

The growth of wireless communication has introduced challenges in the dynamic and resource contrived space which is the efficient utilization of bandwidth and spectrum. This research presents a model for dynamic spectrum allocation with the help of Convolutional Neural Network (CNN) for feature extraction and the Deep Q-Network (DQN) model’s reinforcement learning architecture. The CNN captures both spatial and temporal features of the network states and gives them to the DQN for optimal allocation decision making. This CNN-DQN architecture effectively implements spectrum resource allocation in wireless networks and adapts to resource allocation changes within performance bounds. The system’s performance is …

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Improving Contextual Retrieval For Long Documents In Q & A Systems, Sakshi Garg Jan 2025

Improving Contextual Retrieval For Long Documents In Q & A Systems, Sakshi Garg

Master's Projects

With the vast amount of information available on the internet distributed across several lengthy documents, finding relevant information has become more important and challenging. The goal of this project is to develop advanced techniques to retrieve information from long texts in order to deliver accurate and relevant results while ensuring speed and efficiency. As part of this work, we employ techniques to address unique difficulties posed by large and complex documents. This paper presents a custom Retrieval-Augmented Generation (RAG) framework designed to improve contextual retrieval in long and multi-document settings. In this paper, we employ several techniques like summarization, semantic …

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Evorgcn: Harnessing Esm-2 Evolutionary Embeddings With Relational Gcns For High-Fidelity Protein-Protein Interaction Prediction, Mohit Kunder Jan 2025

Evorgcn: Harnessing Esm-2 Evolutionary Embeddings With Relational Gcns For High-Fidelity Protein-Protein Interaction Prediction, Mohit Kunder

Master's Projects

Accurately predicting protein-protein interactions (PPIs) is essential for understanding cellular function and advancing biomedical discovery. We model PPIs as graphs, where nodes represent proteins and edges denote interactions. Using interaction data from the STRING database, we use two samples of it, namely the benchmark datasets—SH27K and SH148K—filtered by confidence score and annotated by interaction mode (multiple relations). In this project, we present EvoRGCN, a graph-based machine learning framework for PPI prediction that integrates both sequence-level (ESM-2 embeddings) and network-level information. We incorporate various Graph Neural Network architectures, including Graph Convolutional Networks, Graph Attention Networks, and Relational Graph Convolutional Networks. Our …

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Synthetic Malware Generation Using Generative Ai, Phanidhar Sai Sravan Chandana Jan 2025

Synthetic Malware Generation Using Generative Ai, Phanidhar Sai Sravan Chandana

Master's Projects

Malware grows in numbers and complexity, evading conventional signature-and anomaly-based defenses and worsening extreme data sparsity and class imbalance problems for machine learning based detection. Generative models, specifically GANs conditioned on contextual embeddings like BERT have proved effective augmenting training corpora to improve classifier accuracy, but these approaches have largely produced family-specific samples In this paper, we propose a generalized augmentation scheme for generating robust malware embeddings for various families. We begin by extracting opcode sequences from 13 malware families and encoding them into three embedding methods: CountVectorizer, TF-IDF, and BERT’s ‘[CLS]‘ vectors. We therefore train standard GANs and Wasserstein …

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Comparative Analysis Of Embedding Techniques With Clustering Algorithms For Malware Opcodes, Ayush Koul Jan 2025

Comparative Analysis Of Embedding Techniques With Clustering Algorithms For Malware Opcodes, Ayush Koul

Master's Projects

Malware detection and classification remain critical challenges in cybersecurity, especially as malicious software becomes increasingly sophisticated and prevalent. While much of the work involving embeddings has traditionally relied on supervised learning approaches, there is significant potential in leveraging unsupervised learning techniques to discern hidden structures in malware data. By employing embedding techniques to convert malware samples into high-dimensional vector representations, we can capture the subtle and complex patterns inherent in malicious code without relying on pre-labeled data. This unsupervised approach helps categorize malware into predefined malware families, greatly aiding in developing cybersecurity solutions. In contrast to traditional supervised models that …

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Gen Ai For Malicious Network Data, Aneesh Maturu Jan 2025

Gen Ai For Malicious Network Data, Aneesh Maturu

Master's Projects

Though botnet attacks are on the rise, they also have become sophisticated and difficult to detect. Such a rising threat demands more and more sophisticated cybersecurity that leverages machine learning technology. Nevertheless, one of the biggest bottlenecks remains the unavailability of large and well-balanced datasets, particularly for malicious traffic, which hampers the efficacy of detection models. In an attempt to address this issue, our research utilizes Generative Adversarial Networks (GANs) to produce synthetic samples of botnet traffic from the CTU-13 dataset. While the majority of generative models have been targeting image data, we use GANs for a new application: generating …

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Collaborative Governance In Practice: Evaluating Intergovernmental Relations Through The Santa Clara County Healthy Cities Initiative, Astrid J. Robles Jan 2025

Collaborative Governance In Practice: Evaluating Intergovernmental Relations Through The Santa Clara County Healthy Cities Initiative, Astrid J. Robles

Master's Projects

In the United States, intergovernmental relations (IGR) is rooted in the principles of American federalism, which focuses on the constitutional power dynamics between national, state, and local governments. While federalism outlines the structural framework, IGR specifically focuses on how federal, state, and local governments interact administratively, financially, and politically within the federal system. Beginning in the 1960’s, governments across the U.S. began to rely on non-governmental and private sector organizations for program implementation (Boyd & Fauntroy, 2000). This shift gave rise to the concept of collaborative governance, which expanded the scope of IGR by incorporating traditionally excluded groups from the …

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Application Of Root Cause Analysis For Fall Prevention: A Quality Improvement Initiative For Older Adults In A Skilled Nursing And Long-Term Care Facility, Terrence Ranjo Jan 2025

Application Of Root Cause Analysis For Fall Prevention: A Quality Improvement Initiative For Older Adults In A Skilled Nursing And Long-Term Care Facility, Terrence Ranjo

Doctoral Projects

Falls in older adults are common and often have severe outcomes. They are the leading cause of fatal and non-fatal injuries among people aged 65 and older and continue to increase. Half of residents in nursing facilities fall annually, and one in every ten falls will lead to a severe injury. Federal regulations like the Centers for Medicare and Medicaid Services require long-term care (LTC) facilities to incorporate quality assurance performance improvement initiatives to address identified quality concerns in LTC facilities. Root cause analysis (RCA) can help clinicians identify several root causes of falls and guide clinicians in developing personalized …

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Advocating For The Field Of Occupational Therapy Among High School Students, Linda Crabtree Jan 2025

Advocating For The Field Of Occupational Therapy Among High School Students, Linda Crabtree

Doctoral Projects

The field of occupational therapy (OT) is a healthcare field that is impactful on the lives of many individuals however there is currently a lack of awareness of the field of OT due to a lack of knowledge of and interest in OT among healthcare providers and the public (Richards and Valleé, 2020). The Aim of Research. The purpose of this project is to advocate for the field of OT and assess if an introductory presentation and hands-on lab about OT’s scope can improve the interest in OT among high school students in both rural and urban environments. Methods. The …

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Determination Of Structural Factors Contributing To Protection Of Zinc Fingers In Estrogen Receptor Α Through Molecular Dynamic Simulations, Patricia B. Lutz, Wesley R. Coombs, Craig A. Bayse Jan 2025

Determination Of Structural Factors Contributing To Protection Of Zinc Fingers In Estrogen Receptor Α Through Molecular Dynamic Simulations, Patricia B. Lutz, Wesley R. Coombs, Craig A. Bayse

Chemistry & Biochemistry Faculty Publications

The ERα transcription factor that induces tumor growth is a potential target for breast cancer treatment. Each monomer of the ERα DNA-binding domain (ERαDBD) homodimer has two conserved (Cys)4-type zinc fingers, ZF1 (N-terminal) and ZF2 (C-terminal). Electrophilic agents release Zn2+ by oxidizing the coordinating Cys of the more labile ZF2 to inhibit dimerization and DNA binding. Microsecond-length molecular dynamics (MD) simulations show that greater flexibility of ZF2 in the ERαDBD monomer leaves its Cys more solvent accessible and less shielded from electrophilic attack by sulfur-centered hydrogen bonds than ZF1 which is buried in the protein. In the …

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